Harnessing AI in Surgical Education: Deep Language Learning Model-Based Simulation Enhances Undergraduate History-Taking Skills

Introduction

Effective communication is paramount in surgical practice, with patient history-taking representing a foundational step that shapes diagnosis and management. Traditionally, surgical education has leveraged experiential learning and standardized patient simulations to cultivate these skills. However, recent advancements in artificial intelligence (AI), specifically deep language learning models (DLM) such as ChatGPT developed by OpenAI, have introduced innovative possibilities to enhance training modalities.

This article critically reviews a randomized controlled trial investigating the incorporation of a DLM as a simulated patient (SP) in surgical history-taking training for senior undergraduate medical students. Complementary studies on simulation-based communication skills in consent acquisition and core clinical skill development are also appraised to contextualize findings within broader pedagogic trends.